For Gaussian noise we compare our method against six other blind zero-shot denoisers: Noise2Self (N2S)[1]}, Noise2Void (N2V)[2]}, Self2Self [3]}, Deep Image Prior (DIP)[4]}, Noise2Fast (N2F) [5]} and SS-GMM [6]}. For Poisson noise, we replace SS-GMM (which is designed to work specifically on Gaussian noise) with Poisson2Sparse (P2S)[7]} (which is designed to work specifically on Poisson noise). We also add our own seventh method to each comparison, N2F+Domino (N2F+DOM), which is N2F where we replaced checkerboard downsampling with our domino tiling based approach. This serves to illustrate the broader applicability of domino tiling to generate noisy image pairs.
